Brings Sachsen-Anhalt online as the second supported Bundesland after
NRW. Closes the gap that issue #2 left open: with the PortalaAdapter
already in place from c7242f8, this commit adds the reference data and
flips the activation switch.
Wahlprogramme (LTW Sachsen-Anhalt 06.06.2021)
- Six PDFs added under app/static/referenzen/{cdu,spd,gruene,fdp,afd,
linke}-lsa-2021.pdf, plus paged plain-text extractions under
app/kontext/*.txt for the keyword fallback search.
- Sources verified by hand:
- CDU "Unsere Heimat. Unsere Verantwortung." (cdulsa.de, 82 pages)
- SPD "Zusammenhalt und neue Chancen" (FES library, 77 pages)
- GRÜNE "Verlässlich für Sachsen-Anhalt" (gruene-lsa.de, 164 pages)
- FDP "Wahlprogramm zur Landtagswahl 2021" (Naumann-Stiftung, 76 pages)
- AfD "Alles für unsere Heimat!" (klimawahlen.de mirror, 64 pages)
- LINKE "Wahlprogramm zur Landtagswahl 2021" (dielinke-sachsen-anhalt.de,
88 pages)
- The CDU PDF was the trickiest: KAS blocks bot downloads via
Cloudflare; the cdulsa.de copy was located by an autonomous web
search and verified to be byte-identical with the official document.
Embeddings indexed (in production container, OpenAI-compatible
DashScope embeddings via the existing index_programm pipeline):
- CDU 134, SPD 145, GRÜNE 183, FDP 100, AfD 64, LINKE 143 chunks
- Total LSA: 769 new chunks alongside the existing 775 NRW chunks
and 335 federal Grundsatzprogramm chunks.
wahlprogramme.py
- WAHLPROGRAMME["LSA"] populated with all six parties (canonical fraction
codes, original titles, page counts).
embeddings.py
- PROGRAMME extended with the six new "<partei>-lsa-2021" entries that
the indexer pipeline expects.
bundeslaender.py
- LSA flipped to aktiv=True. The frontend dropdown will now offer
Sachsen-Anhalt as a selectable bundesland and analyzer.get_bundesland_
context() will produce a real LSA prompt block (CDU/SPD/FDP as
governing fractions, all six landtagsfraktionen).
End-to-end smoke test (live in production container before commit)
- Adapter: PortalaAdapter.search() returned current Anträge of März 2026
(LINKE + GRÜNE) with correct titles and PDF URLs.
- Semantic search for an LSA "ÖPNV in der Altmark" sample antrag
matched LINKE S.53, SPD S.68, FDP S.52 — all three with similarity
> 0.6 and topical hits (Regionalisierungsmittel, ÖPNV-Förderprogramm,
Wasserstoffnetz).
Resolves issue #2.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Atomic refactor of the three modules that previously hardcoded NRW
behaviour. After this commit, every analysis path consults the central
BUNDESLAENDER registry for governing fractions, parliament name, and
state metadata.
wahlprogramme.py
- WAHLPROGRAMME is now nested {bundesland: {partei: meta}}; NRW data
hoisted unchanged under the "NRW" key.
- New WAHLPROGRAMM_KONTEXT_FILES dict maps a state to its overview
markdown file (currently only NRW).
- find_relevant_quotes(text, fraktionen, bundesland) — bundesland is
now a required positional. Governing fractions for the requested
state are merged with the submitting fractions before lookup.
- Helpers get_wahlprogramm() and parteien_mit_wahlprogramm() expose
the new shape to other modules.
- ValueError on unknown bundesland (no silent fallback).
embeddings.py
- Schema migration in init_embeddings_db: adds a `bundesland` column
to the chunks table when missing, plus an index, and backfills
existing rows from the PROGRAMME registry. Grundsatzprogramme
(federal level) keep bundesland NULL by design.
- find_relevant_chunks accepts a bundesland filter that matches state
rows OR NULL — so federal Grundsatzprogramme remain visible to every
analysis.
- get_relevant_quotes_for_antrag(text, fraktionen, bundesland, …) —
bundesland required, governing fractions read from BUNDESLAENDER
instead of hardcoded ["CDU","GRÜNE"]. Order-preserving dedup
replaces the previous set-based merge.
- index_programm now writes the bundesland column on insert.
- Dropped the hardcoded "Wahlprogramm NRW 2022" label in
format_quotes_for_prompt — bundesland context is implicit in the
surrounding prompt block.
analyzer.py
- get_bundesland_context reads parlament_name, regierungsfraktionen,
landtagsfraktionen and the optional WAHLPROGRAMM_KONTEXT_FILES entry
from the central registry. Throws ValueError on unknown OR inactive
bundesland — kills the silent NRW fallback that previously masked
configuration gaps.
- The Antragsteller-detection heuristic now iterates
BUNDESLAENDER[bundesland].landtagsfraktionen instead of
WAHLPROGRAMME.keys(), so we recognise parties for which we don't
yet have a Wahlprogramm PDF.
- Both quote lookups (semantic + keyword fallback) now receive the
bundesland.
Resolves issue #5. Foundation for #2 (LSA), #3 (Berlin), #4 (MV).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
